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Extending Local Canonical Correlation Analysis to Handle General Linear Contrasts for fMRI Data
Local canonical correlation analysis (CCA) is a multivariate method that has been proposed to more accurately determine activation patterns in fMRI data. In its conventional formulation, CCA has several drawbacks that limit its usefulness in fMRI. A major drawback is that, unlike the general linear...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2012
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3272863/ https://www.ncbi.nlm.nih.gov/pubmed/22461786 http://dx.doi.org/10.1155/2012/574971 |